可落地
才算数
Ship it
or nothing

以 AI 为中心 产品化交付 AI at the Core Productized

重心只有一件事:以 AI 为中心的产品与服务。询盘雷达、问见 GEO、Motus 做成可复用的 SaaS;企业 AI 转型帮客户把智能体体系真正落地——产品化,才有 scale 的机会。

One focus: AI-centered products and services. TradeRadar, GeoMind, and Motus ship as reusable SaaS; enterprise AI transformation lands agent systems for customers — productize the service, then scale.

重心很清楚
只做 AI

Clear focus
AI only

过去的路径不再延续。未来只押注以 AI 为中心的产品与服务:把高价值能力做成 SaaS,用同一套产品服务更多客户;需要定制落地时,再以咨询与实施把智能体体系装进企业业务。服务可以深,但交付形态要产品化——这才是 scale 的路径。

Legacy paths are behind us. The bet is AI-centered products and services: package high-value capabilities as SaaS so one product serves many customers; when a company needs a tailored landing, consulting and delivery install the agent system into the business. Go deep on service — but productize the delivery. That’s how you scale.

产品化 SaaS,才有 scale。 Productized SaaS is the path to scale.
David Xu
AI · SaaS · 落地 AI · SaaS · Delivery

三款 SaaS

Three SaaS products

都是可复用的产品化服务:询盘经营、AI 可见度、营销转化——对准真实业务,才谈得上规模化。

Reusable, productized services: inquiry ops, AI visibility, and marketing conversion — built for real workflows, designed to scale.

企业服务 · 仍以 AI 为中心

Enterprise · still AI-centered

AI

AI 转型咨询与实施

AI transformation consulting & delivery

咨询不是回到旧交付模式,而是把 AI 能力装进企业:智能体体系、落地框架、试点与运营机制。能产品化的走 SaaS;需要企业级装配的,用实施把同一套 AI 方法论落到业务里。

Consulting isn’t a return to legacy delivery — it’s installing AI into the enterprise: agent systems, landing frameworks, pilots, and operating models. What can be productized ships as SaaS; what needs enterprise assembly gets the same AI playbook delivered into the business.

企业级智能体体系

Enterprise agent systems

角色、权限、工具调用与人机协作边界一次设计清楚。

Roles, permissions, tool use, and human–AI boundaries designed up front.

落地框架与试点

Landing framework & pilots

选准高价值场景,快速验证,再规模化复制。

Pick high-value scenarios, prove them fast, then scale what works.

业务结果导向

Business outcomes first

对齐销售、营销、运营与客户成功的真实指标。

Tied to real metrics in sales, marketing, ops, and customer success.

你可能想问:

You might wonder:

纯项目制难 scale:人力线性增长,经验难复用。把能力做成 SaaS,是把服务产品化——同一套产品服务更多客户,才有规模化的机会;咨询与实施则补齐企业级落地,而不是替代产品路径。
Pure project work doesn’t scale — headcount grows linearly, know-how stays stuck. SaaS productizes the service so one product serves many customers. Consulting fills enterprise landing gaps; it doesn’t replace the product path.
能标准化的走产品:询盘雷达 / 问见 GEO / Motus。需要整体智能体体系与组织落地时,用 AI 转型实施装配。常见路径是先用 SaaS 验证场景,再扩展为企业级框架;或先规划转型,再接入匹配的产品模块。
Standardize what you can as product: TradeRadar / GeoMind / Motus. When the whole agent system and org need landing, AI transformation delivery assembles it. Common path: prove the scenario with SaaS, then expand to an enterprise framework — or plan the transformation first, then plug in matching modules.
不做了。重心只在以 AI 为中心的产品与服务上——不再延续旧路径。经验可以复用,但交付形态已经换到产品化 SaaS 与 AI 落地。
No. Focus is AI-centered products and services only — legacy paths are closed. Experience still informs the work, but delivery has moved to productized SaaS and AI landing.

一起
做点事

Let's
build

欢迎交流 SaaS 试用、产品合作,或企业 AI 转型与智能体体系落地。

Open to SaaS trials, product partnerships, and enterprise AI / agent-system landing.